Bioinformatics Algorithms
Design and Implementation in Python
Nonfiction, Science & Nature, Technology, Engineering, Chemical & Biochemical, Health & Well Being, Medical
| Author: | Miguel Rocha, Pedro G. Ferreira | ISBN: | 9780128125212 |
| Publisher: | Elsevier Science | Publication: | June 8, 2018 |
| Imprint: | Academic Press | Language: | English |
| Author: | Miguel Rocha, Pedro G. Ferreira |
| ISBN: | 9780128125212 |
| Publisher: | Elsevier Science |
| Publication: | June 8, 2018 |
| Imprint: | Academic Press |
| Language: | English |
Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications.
- Presents an ideal text for bioinformatics students with little to no knowledge of computer programming
- Based on over 12 years of pedagogical materials used by the authors in their own classrooms
- Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book
Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications.
- Presents an ideal text for bioinformatics students with little to no knowledge of computer programming
- Based on over 12 years of pedagogical materials used by the authors in their own classrooms
- Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book
